Aditya Gupta is a software engineering leader and applied research scientist with more than ten years of experience operating at the nexus of artificial intelligence (AI)/machine learning (ML), observability infrastructure, and distributed systems. He is presently guiding the architecture of large-scale developer platforms in one of the world’s premier cloud ecosystems, where he has led various high-impact initiatives in secure telemetry, compliance observability, and trace analytics. His engineering work enables performance observability and scalability on millions of workloads worldwide.

Aditya has authored over 15 peer-reviewed publications in machine learning, recommender systems, and systems design, and his early work on XGBoost was among the first published uses in India. His work has been cited in fields as varied as agriculture and biotech to financial analytics. He actively connects industry and academic practice toward the development of AI-driven infrastructure.

He has been a session chair and invited speaker at Institute of Electrical and Electronics Engineers (IEEE), Springer, and Elsevier conferences, and a peer reviewer for various international journals and book publishers, including Manning, with over 300 verified peer reviews. Aditya is a fellow or senior member in professional societies like IEEE, SAS, and the Association for Computing Machinery (ACM).